This new and free Handbook of Learning Analytics covers a broad sprectrum of topics including Emotion (from Sidney D’Mello) and Self-Regulated Learning (from Philip Winne).
This book is edited by Charles Lang, George Siemens, Alyssa Wise & Dragan Gašević
The full book Handbook of Learning Analytics can be downloaded for free here (CC BY 4.0)
Citation: Lang, C., Siemens, G., Wise, A., & Gašević, D. (Eds.). (2017). The Handbook of Learning Analytics. Society for Learning Analytics Research.
ISBN: 978-0-9952408-0-3
DOI: 10.18608/hla17
Handbook of Learning Analytics – Table of Contents
SECTION 1. FOUNDATIONAL CONCEPTS
Chapter 1. Theory and Learning Analytics
Simon Knight and Simon Buckingham Shum
Chapter 2. Computational Methods for the Analysis of Learning and Knowledge Building Communities
Urlich Hoppe
Chapter 3. Measurement and its Uses in Learning Analytics
Yoav Bergner
Chapter 4. Ethics and Learning Analytics: Charting the (Un)Charted
Paul Prinsloo and Sharon Slade
SECTION 2. TECHNIQUES & APPROACHES
Chapter 5. Predictive Modelling in Teaching and Learning
Christopher Brooks and Craig Thompson
Chapter 6. Going Beyond Better Data Prediction to Create Explanatory Models of Educational Data
Ren Liu and Kenneth Koedinger
Chapter 7. Content Analytics: The Definition, Scope, and an Overview of Published Research
Vitomir Kovanović, Srećko Joksimović, Dragan Gašević, Marek Hatala, and George Siemens
Chapter 8. Natural Language Processing and Learning Analytics
Danielle McNamara, Laura Allen, Scott Crossley, Mihai Dascalu, and Cecile Perret
Chapter 9. Discourse Analytics
Carolyn Rosé
Chapter 10. Emotional Learning Analytics
Sidney D’Mello
Chapter 11. Multimodal Learning Analytics
Xavier Ochoa
Chapter 12. Learning Analytics Dashboards
Joris Klerkx, Katrien Verbert and Erik Duval
Chapter 13. LA Implementation Design
Alyssa Wise and Jovita Vytasek
SECTION 3. APPLICATIONS
Chapter 14. Provision of Data-Driven Student Feedback in LA and EDM
Abelardo Pardo, Oleksandra Poquet, Roberto Martínez-Maldonado and Shane Dawson
Chapter 15. Epistemic Network Analysis: A Worked Example of Theory-Based Learning Analytics
David Williamson Shaffer and Andrew Ruis
Chapter 16. Multilevel Analysis of Activity and Actors in Heterogeneous Networked
Learning Environments
Daniel Suthers
Chapter 17. Data Mining Large-Scale Formative Writing
Peter Foltz and Mark Rosenstein
Chapter 18. Diverse Big Data and Randomized Field Experiments in Massive Open Online Courses
Rene Kizilcec and Christopher Brooks
Chapter 19. Predictive Modelling of Student Behaviour Using Granular Large-Scale
Action Data
Steven Tang, Joshua Peterson and Zachary Pardos
Chapter 20. Applying Recommender Systems for Learning Analytics Data: A Tutorial
Soude Fazeli, Hendrik Drachsler and Peter Sloep
Chapter 21. Learning Analytics for Self-Regulated Learning
Philip Winne
Chapter 22. Analytics of Learner Video Use
Negin Mirriahi and Lorenzo Vigentini
Chapter 23. Learning and Work: Professional Learning Analytics
Allison Littlejohn
SECTION 4. INSTITUTIONAL STRATEGIES & SYSTEMS PERSPECTIVES
Chapter 24. Addressing the Challenges of Institutional Adoption
Cassandra Colvin, Shane Dawson, Alexandra Wade, and Dragan Gašević
Chapter 25. LA: Layers, Loops and Processes in a Virtual Learning Infrastructure
Ruth Crick
Chapter 26. Unleashing the Transformative Power of Learning Analytics
Linda Baer and Donald Norris
Chapter 27. A Critical Perspective on Learning Analytics and Educational Data Mining
Rita Kop, Helene Fournier and Guillaume Durand
Chapter 28. Unpacking Student Privacy
Elana Zeide
Chapter 29. Linked Data for LA: The Case of the LAK Dataset
Davide Taibi and Stefan Dietze
Chapter 30. Linked Data for Learning Analytics: Potentials and Challenges
Amal Zouaq, Jelena Jovanović, Srećko Joksimović and Dragan Gašević
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